Harshit Jha

Deputy Manager | Data Scientist

485001, Satna, IN.

About

Highly accomplished Data Scientist with 3+ years of experience in machine learning, predictive analytics, and data engineering, specializing in developing and deploying scalable AI solutions that drive operational efficiency and revenue growth. Proven ability to lead data science initiatives, optimize complex systems, and build robust data pipelines, complemented by product engineering expertise from a founding member role.

Work

Mahindra and Mahindra

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Deputy Manager | Data Scientist

Mumbai, Maharashtra, India

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Summary

Leading data science initiatives to optimize operations and drive revenue growth for Mahindra Teqo Solar, leveraging ML models and predictive analytics.

Highlights

Deployed three machine learning models, reducing manual inspection hours by 70% across 50+ Mahindra Teqo solar assets by detecting thermal anomalies and scratch defects.

Architected a predictive Energy Yield Assessment tool that delivers 25-year forecasts for Mahindra Teqo Solar, slashing analysis time by 70% and driving significant revenue growth.

Led a team to develop Data Science and Analytics solutions, reducing operational costs by 15% and decreasing human effort by approximately 60% in ongoing operations and management projects.

Mahindra and Mahindra

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Graduate Engineer | Graduate Engineer Trainee

Mumbai, Maharashtra, India

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Summary

Optimized logistics and inventory management for Mahindra Logistics and Auto through advanced algorithms and proof-of-concept development.

Highlights

Optimized Electric Vehicle (EV) deployment for Mahindra Logistics, enhancing routing and improving customer transport efficiency.

Developed MILP and dynamic programming algorithms, optimizing parcel allocation and reducing vehicle usage.

Created a Proof-of-Concept (POC) for inventory management in Mahindra Auto, improving item arrangement based on fragility, turnaround time (TAT), and usage frequency.

Mahindra and Mahindra

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Intern

Mumbai, Maharashtra, India

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Summary

Engineered data pipelines and migrated large-scale datasets, enabling seamless data integration and advanced analytics within BigQuery.

Highlights

Engineered 5+ data pipelines for ETL, enabling seamless integration of diverse data sources into BigQuery.

Automated 10+ data workflows by orchestrating Directed Acyclic Graphs (DAGs) in Apache Airflow to ingest API data into GCP BigQuery.

Migrated large-scale datasets from SAP BW to BigQuery by crafting and optimizing over 50 advanced SQL queries.

Genzeria Private Limited

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Product Engineer | Founding Member

Bengaluru, Karnataka, India

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Summary

As a Founding Member, led product development and deployment for a video conferencing platform and client-facing portal, driving user engagement and data-driven decision-making.

Highlights

Implemented a robust video conferencing platform, supporting 100+ daily active users and ensuring smooth communication.

Deployed a client-facing portal integrated with CRM, streamlining workflows for over 500 active users.

Crafted a performance analytics dashboard, utilized weekly by 20+ stakeholders for reporting and data-driven decision-making.

Education

Manipal University Jaipur

Jaipur, Rajasthan, India
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Bachelors of Technology Information Technology Grade: 8.6/10.0 CGPA

Courses

Data Structures and Algorithms

Object Oriented Programming

Software Engineering

Database Management System

Operating Systems

Design and Analysis of Algorithms

Awards

AMAZON HackOn 2022 Finalist

Amazon

Achieved finalist status in the AMAZON HackOn 2022 hackathon.

Flipkart Grid 4.0 Qualifier

Flipkart

Qualified in Flipkart Grid 4.0.

IONathon Hackathon Qualifier

ION

Qualified in the IONathon hackathon.

Leetcode Contest Global Rank

Leetcode

Achieved a global rank of 1585 out of 17000+ participants in a Leetcode Contest.

Job-A-Thon Coding Competition Rank

Geeksforgeeks

Accomplished a rank of 63 in the Job-A-Thon coding competition organized by Geeksforgeeks.

Publications

Artificial Intelligence and Product Management Review Papers

Springer Publications

Published two review papers related to Artificial Intelligence and Product Management.

Skills

Backend Development

Artificial Intelligence

Data Science

Languages

Java, Python, Flask, Django, C, C++, JavaScript, Go, Rust.

Frameworks/Libraries

React, TypeScript, Express.js, Node.js, Tailwind CSS.

Tools/Technologies

Git, GitHub, DevOps, Deployment, Kubernetes, Docker.

Databases

MySQL, SQLite, MongoDB, Cloudinary, BigQuery.

Machine Learning

ML Models, Predictive Analytics, Random Forest, Content-Based Filtering, Collaborative Filtering, AI Anomaly Detection.

Data Engineering

ETL, Data Pipelines, Apache Airflow, SQL Optimization, Data Workflows.

Cloud Platforms

GCP BigQuery.

Projects

Crypto Identity using NFT and AI

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Summary

Developed a secure crypto identity system leveraging NFTs and AI for transactional anomaly detection.

Hybrid and Advanced Book Recommendation Model

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Summary

Designed a hybrid book recommendation system combining content-based and user-user filtering.

Video Recommendation Model

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Summary

Formulated a video recommendation system analyzing user-provided keywords.